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Comparison study on smoothing parameter and sample size in nonparametric fuzzy local polynomial regression models

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dc.contributor.authorMemmedli, Memmedağa
dc.contributor.authorYILDIZ, Münevvere
dc.contributor.orcid0000-0002-9967-4237
dc.contributor.orcid0000-0001-9541-2603
dc.date.accessioned2025-11-13T11:57:38Z
dc.date.issued2012-09-01
dc.identifier.doi10.1109/icpci.2012.6486400
dc.identifier.openalexW2545031600
dc.identifier.urihttps://hdl.handle.net/11421/8512
dc.identifier.urihttps://doi.org/10.1109/icpci.2012.6486400
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectSmoothing
dc.subjectNonparametric statistics
dc.subjectMathematics
dc.subjectPolynomial regression
dc.subjectSample size determination
dc.subjectPolynomial
dc.subjectNonparametric regression
dc.subjectFuzzy logic
dc.subjectStatistics
dc.subjectApplied mathematics
dc.subjectSample (material)
dc.subjectLocal regression
dc.subjectRegression analysis
dc.subjectMathematical optimization
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectMathematical analysis
dc.subjectPhysics
dc.titleComparison study on smoothing parameter and sample size in nonparametric fuzzy local polynomial regression models
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5047668983
local.authorid.openalexA5065378496

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